Beatriz Seoane is an interdisciplinary researcher specializing in statistical and computational physics. Her work mainly involves numerical studies of disordered systems such as glasses, proteins or neural networks, as well as the development of computer tools to simulate them. She currently holds a junior professorship in “Physics for Machine Learning” in the Department of Computer Science at the Université Paris Saclay. In her research, she applies principles of statistical mechanics to improve the training and interpretability of generative machine learning models. In recent years, she has also led several research projects combining physics and artificial intelligence. Previously, she worked as an independent researcher at the Complutense University of Madrid and as a postdoc at various European universities, including a Marie Curie Fellowship at the École Normale Supérieure in Paris and a two-year postdoctoral stay at “La Sapienza” University (Rome) under the direction of Physics’ Nobel laureate Giorgio Parisi.